As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Hologic has put forward more data bolstering the use of its artificial intelligence programs for detecting breast cancer through mammography. | Hologic put forward another study that bolsters the use ...

A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has developed and validated an ...

A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Cancer remains a leading cause of morbidity and mortality worldwide, presenting immense challenges to public health systems. Despite major advances in ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...